Amazon Technologies, Inc.

Hongtao Liu

Jan Henrik Jonsson

Kuangyou Yao

Shadie Hijazi

Davor Golac

Shobhit Gupta

Yang Song

Meng Wang

Austin M Nevins

Blake Stephens

Amy Lee

Lanxin Zhang

Ian James Boetius MacClancy

Rajesh Srinivas Wunnava

David Andrew Schwardt

Systems and methods are described herein relating to ingesting data objects from various sources and associating them in a hierarchy with a profile. In some aspects, a data object, including a set of fields and indicating a data object type, may be obtained for associating with a profile maintained by a computing resource service provider. The data object may be converted into a standardized format based on the data object type indicated in the data object using an object mapping associated with the data object. A key associated with the data object and indicated in the object mapping may be selected and used to search an index for a related profile. Upon finding a profile with the matching key, the profile may be updated to include an association of the standardized data object, such as in a hierarchy.

Adding hierarchy of objects when ingesting and normalizing data from heterogeneous data sources

Systems and methods are described for merging customer profiles, such as may be implemented by a computer-implemented contact center service. In some aspects, a subset of profiles may be determined that satisfy merging criteria, where individual profiles include a plurality of data fields. At least one value in a first data field that conflicts between at least two profiles may be identified. Next a merged value may be selected for the first data field based on data deduplication criteria, where the data deduplication criteria includes at least one indicator of accuracy of values of the plurality of data fields. As a result of a determination that at least the subset of profiles of the group of profiles meet the merging criteria, at least the subset of profiles may be combined into a combined profile using the merged value.

Merging duplicate customer data

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San Diego, CA, United States of America

Hongtao Liu